
\begin{table}
\begin{center}
\begin{scriptsize}
\begin{tabular}{l c c c}
\hline
 & \multicolumn{3}{c}{Gender} \\
\cline{2-4}
 & Female & Male & Other \\
\hline
(Intercept)                                     & $0.16^{***}$  & $0.21^{***}$  & $0.26^{***}$  \\
                                                & $(0.03)$      & $(0.02)$      & $(0.06)$      \\
Vulnerability                                   &               &               &               \\
                                                &               &               &               \\
\quad Moderate (risk of death)                  & $0.06^{***}$  & $0.05^{***}$  & $0.07$        \\
                                                & $(0.01)$      & $(0.01)$      & $(0.07)$      \\
\quad High (risk of death)                      & $0.20^{***}$  & $0.17^{***}$  & $0.22^{***}$  \\
                                                & $(0.01)$      & $(0.01)$      & $(0.04)$      \\
Transmission                                    &               &               &               \\
                                                &               &               &               \\
\quad Moderate risk (of transmission)           & $0.05^{***}$  & $0.04^{***}$  & $0.01$        \\
                                                & $(0.01)$      & $(0.00)$      & $(0.03)$      \\
\quad High risk (of transmission)               & $0.18^{***}$  & $0.15^{***}$  & $0.14^{**}$   \\
                                                & $(0.01)$      & $(0.01)$      & $(0.05)$      \\
Income                                          &               &               &               \\
                                                &               &               &               \\
\quad Average income level                      & $-0.02^{***}$ & $-0.02^{***}$ & $-0.04$       \\
                                                & $(0.01)$      & $(0.00)$      & $(0.05)$      \\
\quad Highest 20\% income level                 & $-0.05^{***}$ & $-0.04^{***}$ & $-0.12^{***}$ \\
                                                & $(0.01)$      & $(0.01)$      & $(0.03)$      \\
Occupation                                      &               &               &               \\
                                                &               &               &               \\
\quad Non-Key worker: Can work at home          & $-0.00$       & $-0.01$       & $0.09$        \\
                                                & $(0.01)$      & $(0.01)$      & $(0.07)$      \\
\quad Non-Key worker: Cannot work at home       & $0.10^{***}$  & $0.07^{***}$  & $0.19^{*}$    \\
                                                & $(0.01)$      & $(0.01)$      & $(0.09)$      \\
\quad Key worker: Education and childcare       & $0.23^{***}$  & $0.19^{***}$  & $0.41^{***}$  \\
                                                & $(0.01)$      & $(0.02)$      & $(0.07)$      \\
\quad Key worker: Factory worker                & $0.16^{***}$  & $0.12^{***}$  & $0.31^{***}$  \\
                                                & $(0.01)$      & $(0.01)$      & $(0.07)$      \\
\quad Key worker: Water and electricity service & $0.17^{***}$  & $0.14^{***}$  & $0.32^{***}$  \\
                                                & $(0.01)$      & $(0.01)$      & $(0.06)$      \\
\quad Key worker: Police and fire-fighting      & $0.23^{***}$  & $0.19^{***}$  & $0.24^{***}$  \\
                                                & $(0.02)$      & $(0.02)$      & $(0.07)$      \\
\quad Key worker: Health and social care        & $0.29^{***}$  & $0.23^{***}$  & $0.40^{***}$  \\
                                                & $(0.02)$      & $(0.02)$      & $(0.08)$      \\
Age Category                                    &               &               &               \\
                                                &               &               &               \\
\quad 40 years old                              & $0.05^{***}$  & $0.05^{***}$  & $0.03$        \\
                                                & $(0.00)$      & $(0.01)$      & $(0.04)$      \\
\quad 65 years old                              & $0.09^{***}$  & $0.09^{***}$  & $0.10$        \\
                                                & $(0.01)$      & $(0.02)$      & $(0.06)$      \\
\quad 79 years old                              & $0.09^{***}$  & $0.09^{***}$  & $0.10$        \\
                                                & $(0.02)$      & $(0.02)$      & $(0.05)$      \\
\hline
Country Fixed Effects?                          & Yes           & Yes           & Yes           \\
\hline
\multicolumn{4}{l}{\tiny{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\end{scriptsize}
\caption{Unweighted LPM (OLS) Regression Results for Gender Categories. The dependent variable is the Forced Choice decision. These are the estimates used to construct the conjoint plots presented in Figure \ref{fig:hetero_cov_edu_gen_unweighted}.}
\label{table:gender}
\end{center}
\end{table}
